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Title: IPS-MAC: An informative preamble sampling MAC protocol for wireless sensor networks
Authors: Ahdi, F.
Wang, W.
Srinivasan, V. 
Chua, K.-C. 
Keywords: Decision making
Low power listening
Sensor networks
Issue Date: Jul-2010
Citation: Ahdi, F., Wang, W., Srinivasan, V., Chua, K.-C. (2010-07). IPS-MAC: An informative preamble sampling MAC protocol for wireless sensor networks. Wireless Networks 16 (5) : 1373-1387. ScholarBank@NUS Repository.
Abstract: Radio transceivers are the main source of energy consumption in wireless sensor networks (WSNs) where the source of energy supply is non-rechargeable battery. Several MAC protocols have been proposed in order to efficiently conserve energy in the link layer via duty-cycling. Low power listening (LPL) methods have been shown to outperform other schemes in lightly loaded situations which are common in environment monitoring applications. Nonetheless, as the network becomes dense, in LPL protocols such as BMAC a large number of nodes stay awake for each transmission, resulting in high levels of energy consumption. This paper introduces the informative preamble sampling (IPS) protocol in which a transmitter implicitly embeds information about its intended receiver via the power at which the preamble is transmitted. This results in far fewer nodes staying awake for each preamble. Upon hearing the preamble, a receiver executes a decision-making algorithm to decide whether to stay awake. If the decision-making algorithm is too lax, then more nodes stay awake following the preamble. On the other hand if the algorithm is too strict, it is likely that the intended receiver misses the preamble. In this paper we derive the optimal operating points for the IPS protocol. We show analytically that the IPS protocol can achieve a gain in energy by at least a factor of 2 over BMAC. We also conduct extensive simulations to show that IPS can achieve significant energy gains compared to BMAC. © 2009 Springer Science+Business Media, LLC.
Source Title: Wireless Networks
ISSN: 10220038
DOI: 10.1007/s11276-009-0209-7
Appears in Collections:Staff Publications

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